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Regression analysis

Instructions for Exercises 12.4-12.6: (a) Make a scatter plot of the data. What does it suggest about the
correlation between X and Y? (b) Use Excel, MegaStat, or MINITAB to calculate the correlation coefficient.
(c) Use Excel or Appendix D to find t.05 for a two-tailed test. (d) Calculate the t test statistic.
(e) Calculate the critical value of r&#945;. (f) Can you reject &#961; = 0?

12.6 Number of Orders and Shipping Cost (\$)
Orders (X) Ship Cost (Y)
1,068 4,489
1,026 5,611
767 3,290
885 4,113
1,156 4,883
1,146 5,425
892 4,414
938 5,506
769 3,346
677 3,673
1,174 6,542
1,009 5,088

Chapter 14 (Same Author)

14.4 (a) Make an Excel line graph of the work hours data. (b) Discuss the underlying causes that might
explain the trend or pattern. (c) Fit three trends (linear, exponential, quadratic). (d) Which trend
model is best, and why? If none is satisfactory, explain. (e) Make a forecast for 2000, using a trend
model of your choice or a judgment forecast. (WorkHours)

Average Annual Hours of Work, Married Couple with Children
Year Hours Year Hours
1982 3,160 1991 3,515
1983 3,194 1992 3,491
1984 3,289 1993 3,536
1985 3,309 1994 3,589
1986 3,391 1995 3,616
1987 3,451 1996 3,638
1988 3,460 1997 3,679
1989 3,534 1998 3,685
1990 3,536 1999 3,714

Solution Summary

The solution provides step by step method for the calculation of regression line . Formula for the calculation and Interpretations of the results are also included.

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